Posteriordb v 1.0.0 released

General
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Hi everyone,

Good news on posteriordb! We (@Bob_Carpenter , @paul.buerkner , @avehtari @Lu.Zhang and @Jakob_Torgander and me) have now published a paper on posteriordb at AISTATs. The paper can be found here:

@Jakob_Torgander will present the paper at AISTATs so please reach out if you going to be there!

We have now also released version 1.0.0 of posteriordb at github:

A third piece of good news is that we have secured funding for posteriordb from Uppsala University’s research infrastructure fund. This means that @Jakob_Torgander will be able to work more structurally with posteriordb during 2025-2026 and make it even more helpful for Bayesian benchmarking.

With kind regards
Måns

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If you have suggestions about models to include, please let us know! Especially if you have the Stan code and open-source data.